Search

Background: Rigorous population-based assessments of the use of specialty palliative care (SPC) in the US are rare. Settings/subjects: This study examined SPC use among cancer patients in a mid-sized metropolitan area in Southeast US. Measurements: In this cancer decedent cohort study, data were acquired and linked from the state-wide cancer registry; state-wide hospital discharge dataset; and local SPC providers. Results: 12,030 individuals with cancer were included in this study; only 2,958 (24.6%) used SPC. Of the 9,072 persons who did not use SPC, 3,877 (42.7%) went only to hospitals that did not offer SPC; and 3,517 (38.8%) went to hospitals that offered SPC but did not use it. About half of SPC recipients (1493; 50.5%) first received SPC in the final 30 days of life, including 768 (26.0%) in the final week of life. Characteristics associated with using SPC use included being in an socio-economic status quintile other than the lowest; being younger; being Black; having a solid (versus hematological) cancer; having a shorter survival with cancer; dying in the latter two years of the study; being from an area of low or complete rurality; having a hospital admission in the final 60 days prior to initiation of PC or death; having more days in hospital; and living within 15 miles of a hospital offering SPC. Conclusions: In this population-based study, only one-quarter of cancer patients used SPC, and for half who did so, it came in the final 30 days of life. [ABSTRACT FROM AUTHOR]

Summary: Health‐related quality of life (HRQoL) is an important outcome for patients with sickle cell disease (SCD). It is often poor compared with other chronic medical conditions or measured as a multidomain disease‐specific construct. We previously reported outcomes in the Start Healing in Patients with Hydroxyurea (SHIP‐HU) randomized controlled trial in adolescents and adults with SCD at six clinical sites. Besides the primary outcomes, we also measured HRQoL as a secondary outcome. Patients in the intervention arm were each assigned community health workers (CHWs) who provided case management services. CHW services were independent of medical management, and medical managers were blinded to the study arm. Patients in the control arm received only standard of care. We hypothesized that having a CHW would improve HRQoL in patients enrolled in SHIP‐HU. We did not find significant differences between domains of HRQoL in the two study arms. Possible explanations include selection bias of enrolled versus unenrolled patients, selection bias of sites, medical providers and medical management, enforced blinding, and a lack of cooperation between medical managers and CHWs. The importance of CHWs and HRQoL is nonetheless recognized based on the literature. Future interventions on HRQoL in SCD should consider alternative study designs and multimodal interventions. [ABSTRACT FROM AUTHOR]

In a cross-sectional analysis of baseline data from a randomized clinical trial, we studied 198 adolescents and adults aged 15+ with sickle cell disease. Interest was in assessing the relative strengths of the relationship of vaso-occlusive crisis (VOC) pain domains of intensity, frequency, and duration, with health-related quality of life (HRQOL). Variation in psychosocial, physical function, and pain expression domains of HRQOL was partially explained by frequency, intensity, and duration of VOC pain, separately and together, over and above differences in age, sex, genotype, and organ system damage. However, no single domain measure accounted for more than an additional partial R2 of 12.5% alone. Vaso-occlusive crisis pain frequency explained the most variation, when simultaneously considering VOC intensity and duration, except for stiffness, where duration was most predictive. Yet VOC pain intensity, and even VOC duration, also contributed to variability in HRQOL. We recommend that for most purposes, because all 3 VOC pain domains contribute to variability in HRQOL, all 3 domains should be assessed and interventions should be targeted to improve all 3 domains to maximize HRQOL outcomes. [ABSTRACT FROM AUTHOR]

Context: Increased fruit and vegetable intake can reduce cancer risk. Information from this study contributes to research exploring health disparities in high-risk dietary behavior. Purpose: Changes in fruit and vegetable behavior were evaluated to assess the effects of a low-intensity, physician-endorsed dietary intervention in a rural population. Methods: The study was a randomized trial of 754 patients from 3 physician practices in rural Virginia. Low-literacy nutrition education materials and personalized dietary feedback were administered by mail and telephone. Mixed model analysis of variance was used to determine the effect of the intervention on fruit and vegetable intake behavior, knowledge, intentions, and self-efficacy at 1, 6, and 12 months. Findings: The intervention effect was moderated by age, race, sex, and education. Intake at 1 and 6 months was increased for older and younger participants and those with some college, and further maintained at 12 months by those who did not complete high school. African Americans in the intervention group displayed significantly greater intentions to increase fruit/vegetable intake than whites/others. Knowledge of fruit/vegetable recommendations significantly increased in the intervention group at 12 months, particularly for men. Conclusions: For the rural population, a low-intensity physician-endorsed self-help dietary intervention was successful in initiating fruit and vegetable dietary changes at 1 and 6 months post-intervention, and increasing intentions to change in African Americans. The relationship of the moderating effects of age, race, sex and education need to be further explored in relation to dietary intervention and dietary behavior change for the rural population.

Disease‐specific stress can partly explain Sickle Cell Disease (SCD) healthcare utilization. We developed and validated two measures of adult SCD‐specific stress for research and clinical care. A large cohort of adults with SCD completed both the 3‐item Likert‐scale adapted from a previous disease stress measure and a 10‐item Likert‐scale questionnaire drafted specifically to measure SCD stress. They concurrently completed a psychosocial and health‐related quality of life scale battery, then subsequently daily pain diaries. Diaires measured: daily intensity, distress and interference of pain; self‐defined vaso‐occlusive crises (VOC), opioid use, and types of healthcare utilization for up to 24 weeks. Analyses tested Cronbach's alpha, correlation of the three‐item and 10‐item stress scales with the concurrent battery, with percentages of pain days, VOC days, opioid use days, and healthcare utilization days, and correlation of baseline stress and 6‐month stress for the 10‐item scale. Cronbach's alpha was high for both the 3‐item (0.73) and 10‐item (0.83) SCD stress scales, test–retest correlation of 0.55, expected correlation with the concurrent battery, and correlation with diary‐measured healthcare utilization over 6 months. The correlations with the 3‐item scale were stronger, but only statistically significant for depression‐anxiety. The correlation between the two stress scales was 0.59. Both the 3‐item and the 10‐item stress scales exhibited good face, construct, concurrent, and predictive validity as well as moderate test–retest reliability. Further scale validation should determine population norms and response to interventions. [ABSTRACT FROM AUTHOR]

Sequential multiple assignment randomized trial designs tailor individual treatment by rerandomizing participants to subsequent therapies based on their response to initial treatment. Misclassification of participant responses to initial treatment can lead to inappropriate treatment assignment and thus impact the final outcome. The aim of this study is to derive a series of formulas for quantifying potential misclassification effects on the mean, variance, and statistical inference of a single sequential treatment (SST) effect with continuous outcome. Relative bias is expressed as a function of sensitivity, specificity, and the probability of being true responders. Results show that misclassification can introduce bias to the estimated treatment effect. Though the magnitude of bias varies, there are a few general conclusions: (1) for any fixed sensitivity (or specificity) the relative bias of the mean of responders (or nonresponders) always approaches 0 in a monotonic nonlinear pattern as specificity (or sensitivity) increases; (2) the relative bias of SST variance always has nonmonotone nonlinear relationship with sensitivity or specificity; (3) the SST variance under misclassification is always over-estimated. Furthermore, the results show that misclassification can affect statistical inference, with power exhibiting either monotonic or nonmonotonic patterns and resulting in either under- or over-estimation. [ABSTRACT FROM AUTHOR]